Efficiency of the generalized-difference-based weighted mixed almost unbiased two-parameter estimator in partially linear model

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dc.authoridroozbeh, mahdi -- 0000-0001-8381-738X
dc.contributor.authorAkdeniz, Fikri
dc.contributor.authorRoozbeh, Mahdi
dc.date.accessioned12.07.201910:50:10
dc.date.accessioned2019-07-12T15:27:53Z
dc.date.available12.07.201910:50:10
dc.date.available2019-07-12T15:27:53Z
dc.date.issued2017
dc.departmentFen Edebiyat Fakültesien_US
dc.descriptionWOS: 000415803800020en_US
dc.description.abstractIn this paper, a generalized difference-based estimator is introduced for the vector parameter in partially linear model when the errors are correlated. A generalized-difference-based almost unbiased two-parameter estimator is defined for the vector parameter . Under the linear stochastic constraint r = R + e, we introduce a new generalized-difference-based weighted mixed almost unbiased two-parameter estimator. The performance of this new estimator over the generalized-difference-based estimator and generalized- difference-based almost unbiased two-parameter estimator in terms of the MSEM criterion is investigated. The efficiency properties of the new estimator is illustrated by a simulation study. Finally, the performance of the new estimator is evaluated for a real dataset.en_US
dc.description.sponsorshipResearch Councils of Semnan University, Iranen_US
dc.description.sponsorshipThe authors are grateful to the anonymous reviewers and the associate editor for their valuable comments which helped to improve the quality of this work. The second author's research was supported in part by Research Councils of Semnan University, Iran.en_US
dc.identifier.doi10.1080/03610926.2017.1295075
dc.identifier.endpage12280en_US
dc.identifier.issn0361-0926
dc.identifier.issn1532-415X
dc.identifier.issue24en_US
dc.identifier.scopus2-s2.0-85028762864
dc.identifier.scopusqualityQ2
dc.identifier.startpage12259en_US
dc.identifier.urihttps://doi.org/10.1080/03610926.2017.1295075
dc.identifier.urihttps://hdl.handle.net/20.500.12507/518
dc.identifier.volume46en_US
dc.identifier.wosWOS:000415803800020
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTAYLOR & FRANCIS INCen_US
dc.relation.ispartofCommunıcatıons ın Statıstıcs-Theory and Methods
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDifference-Based Estimatoren_US
dc.subjectGeneralized-difference-based almost unbiased ridge estimatoren_US
dc.subjectGeneralized-difference-based weighted mixed almost unbiased two-parameter ridge estimatoren_US
dc.subjectPartially lLnear Modelen_US
dc.subjectWeighted Mixed Estimatoren_US
dc.titleEfficiency of the generalized-difference-based weighted mixed almost unbiased two-parameter estimator in partially linear model
dc.typeArticle

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